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<div class="title">statistical_outlier_removal.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Software License Agreement (BSD License)</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> *  Point Cloud Library (PCL) - www.pointclouds.org</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *  Copyright (c) 2010-2012, Willow Garage, Inc.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *  All rights reserved.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *  Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *  modification, are permitted provided that the following conditions</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *  are met:</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *   * Redistributions of source code must retain the above copyright</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *     notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *   * Redistributions in binary form must reproduce the above</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> *     disclaimer in the documentation and/or other materials provided</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> *     with the distribution.</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> *   * Neither the name of the copyright holder(s) nor the names of its</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> *     contributors may be used to endorse or promote products derived</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> *     from this software without specific prior written permission.</span></div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span></div>
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<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment"> *  POSSIBILITY OF SUCH DAMAGE.</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"> * $Id$</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160; </div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#ifndef PCL_FILTERS_STATISTICAL_OUTLIER_REMOVAL_H_</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#define PCL_FILTERS_STATISTICAL_OUTLIER_REMOVAL_H_</span></div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#include &lt;pcl/filters/filter_indices.h&gt;</span></div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &lt;pcl/search/pcl_search.h&gt;</span></div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160; </div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">namespace </span>pcl</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;{</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;  <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Po<span class="keywordtype">int</span>T&gt;</div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html">   81</a></span>&#160;  <span class="keyword">class </span><a class="code" href="classpcl_1_1_statistical_outlier_removal.html">StatisticalOutlierRemoval</a> : <span class="keyword">public</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices</a>&lt;PointT&gt;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  {</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;      <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classpcl_1_1_point_cloud.html">FilterIndices&lt;PointT&gt;::PointCloud</a> <a class="code" href="classpcl_1_1_point_cloud.html">PointCloud</a>;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;      <span class="keyword">typedef</span> <span class="keyword">typename</span> PointCloud::Ptr PointCloudPtr;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;      <span class="keyword">typedef</span> <span class="keyword">typename</span> PointCloud::ConstPtr PointCloudConstPtr;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;      <span class="keyword">typedef</span> <span class="keyword">typename</span> pcl::search::Search&lt;PointT&gt;::Ptr SearcherPtr;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160; </div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keyword">public</span>:</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160; </div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;      <span class="keyword">typedef</span> boost::shared_ptr&lt; StatisticalOutlierRemoval&lt;PointT&gt; &gt; Ptr;</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;      <span class="keyword">typedef</span> boost::shared_ptr&lt; const StatisticalOutlierRemoval&lt;PointT&gt; &gt; ConstPtr;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160; </div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a12575358c16c125311f888e181bb67d8">   98</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a12575358c16c125311f888e181bb67d8">StatisticalOutlierRemoval</a> (<span class="keywordtype">bool</span> extract_removed_indices = <span class="keyword">false</span>) :</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices</a>&lt;<a class="code" href="structpcl_1_1_point_x_y_z_r_g_b_a.html">PointT</a>&gt;::<a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices</a> (extract_removed_indices),</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aaab502f944dbbfb6d3327488864b779d">searcher_</a> (),</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">mean_k_</a> (1),</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">std_mul_</a> (0.0)</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;      {</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        <a class="code" href="classpcl_1_1_filter.html#ad700c7ab56dc82ad8811b87e9f793751">filter_name_</a> = <span class="stringliteral">&quot;StatisticalOutlierRemoval&quot;</span>;</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;      }</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160; </div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a986c679df6a980c4448732fc3518ac48">  111</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a986c679df6a980c4448732fc3518ac48">setMeanK</a> (<span class="keywordtype">int</span> nr_k)</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;      {</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">mean_k_</a> = nr_k;</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;      }</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160; </div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">int</span></div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a61746a6febcbfd1ab8daafa35ad95073">  120</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a61746a6febcbfd1ab8daafa35ad95073">getMeanK</a> ()</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;      {</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">mean_k_</a>);</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;      }</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160; </div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a891c56e75fb803f7307bbbd9648e32f1">  131</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a891c56e75fb803f7307bbbd9648e32f1">setStddevMulThresh</a> (<span class="keywordtype">double</span> stddev_mult)</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;      {</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">std_mul_</a> = stddev_mult;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;      }</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160; </div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">double</span></div>
<div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a5a6e9a038365769f4dd341a7c0ec7df9">  141</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a5a6e9a038365769f4dd341a7c0ec7df9">getStddevMulThresh</a> ()</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;      {</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        <span class="keywordflow">return</span> (<a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">std_mul_</a>);</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;      }</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_p_c_l_base.html">PCLBase&lt;PointT&gt;::input_</a>;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_p_c_l_base.html">PCLBase&lt;PointT&gt;::indices_</a>;</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;PointT&gt;::filter_name_</a>;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;PointT&gt;::getClassName</a>;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices&lt;PointT&gt;::negative_</a>;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices&lt;PointT&gt;::keep_organized_</a>;</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices&lt;PointT&gt;::user_filter_value_</a>;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices&lt;PointT&gt;::extract_removed_indices_</a>;</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;      <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter_indices.html">FilterIndices&lt;PointT&gt;::removed_indices_</a>;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160; </div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;      <span class="keywordtype">void</span></div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a4d72e1b9599cee08a6c85721d29536ee">applyFilter</a> (<a class="code" href="classpcl_1_1_point_cloud.html">PointCloud</a> &amp;output);</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160; </div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;      <span class="keywordtype">void</span></div>
<div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#a6246843e05e01df7022438c776afa3c9">  167</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#a6246843e05e01df7022438c776afa3c9">applyFilter</a> (std::vector&lt;int&gt; &amp;indices)</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;      {</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ac559940193a9be8ce2e9efa90437bcd0">applyFilterIndices</a> (indices);</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;      }</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160; </div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;      <span class="keywordtype">void</span></div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ac559940193a9be8ce2e9efa90437bcd0">applyFilterIndices</a> (std::vector&lt;int&gt; &amp;indices);</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160; </div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keyword">private</span>:</div>
<div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#aaab502f944dbbfb6d3327488864b779d">  180</a></span>&#160;      SearcherPtr <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aaab502f944dbbfb6d3327488864b779d">searcher_</a>;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160; </div>
<div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">  183</a></span>&#160;      <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">mean_k_</a>;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">  187</a></span>&#160;      <span class="keywordtype">double</span> <a class="code" href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">std_mul_</a>;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;  };</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160; </div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  <span class="keyword">template</span>&lt;&gt;</div>
<div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html">  201</a></span>&#160;  <span class="keyword">class </span>PCL_EXPORTS <a class="code" href="classpcl_1_1_statistical_outlier_removal.html">StatisticalOutlierRemoval</a>&lt;pcl::<a class="code" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a>&gt; : <span class="keyword">public</span> <a class="code" href="classpcl_1_1_filter.html">Filter</a>&lt;pcl::PCLPointCloud2&gt;</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  {</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;pcl::PCLPointCloud2&gt;::filter_name_</a>;</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;pcl::PCLPointCloud2&gt;::getClassName</a>;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160; </div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;pcl::PCLPointCloud2&gt;::removed_indices_</a>;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <span class="keyword">using</span> <a class="code" href="classpcl_1_1_filter.html">Filter&lt;pcl::PCLPointCloud2&gt;::extract_removed_indices_</a>;</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160; </div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classpcl_1_1search_1_1_search.html">pcl::search::Search&lt;pcl::PointXYZ&gt;</a> <a class="code" href="classpcl_1_1search_1_1_search.html">KdTree</a>;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="keyword">typedef</span> pcl::search::Search&lt;pcl::PointXYZ&gt;::Ptr KdTreePtr;</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160; </div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a> <a class="code" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a>;</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keyword">typedef</span> PCLPointCloud2::Ptr PCLPointCloud2Ptr;</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keyword">typedef</span> PCLPointCloud2::ConstPtr PCLPointCloud2ConstPtr;</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160; </div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;    <span class="keyword">public</span>:</div>
<div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aba8165f065dace6844d66dec33b20a37">  218</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aba8165f065dace6844d66dec33b20a37">StatisticalOutlierRemoval</a> (<span class="keywordtype">bool</span> extract_removed_indices = <span class="keyword">false</span>) :</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;        <a class="code" href="classpcl_1_1_filter.html">Filter</a>&lt;pcl::<a class="code" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a>&gt;::<a class="code" href="classpcl_1_1_filter.html">Filter</a> (extract_removed_indices), mean_k_ (2),</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        std_mul_ (0.0), tree_ (), negative_ (false)</div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;      {</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;        filter_name_ = <span class="stringliteral">&quot;StatisticalOutlierRemoval&quot;</span>;</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;      }</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160; </div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae5f9eed6fa082a417e142d72a34c204b">  229</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae5f9eed6fa082a417e142d72a34c204b">setMeanK</a> (<span class="keywordtype">int</span> nr_k)</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;      {</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        mean_k_ = nr_k;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;      }</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">int</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a046527f80b8793784dc048d4d764052a">  236</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a046527f80b8793784dc048d4d764052a">getMeanK</a> ()</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;      {</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        <span class="keywordflow">return</span> (mean_k_);</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;      }</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160; </div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00248"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae895beae56d1d4f37b3b9136028c9814">  248</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae895beae56d1d4f37b3b9136028c9814">setStddevMulThresh</a> (<span class="keywordtype">double</span> std_mul)</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;      {</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        std_mul_ = std_mul;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;      }</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160; </div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">double</span></div>
<div class="line"><a name="l00255"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a8df2520bcc82f77555448216284503d9">  255</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a8df2520bcc82f77555448216284503d9">getStddevMulThresh</a> ()</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;      {</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <span class="keywordflow">return</span> (std_mul_);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;      }</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160; </div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#acac13c88da7b450d381a7113606722f2">  264</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#acac13c88da7b450d381a7113606722f2">setNegative</a> (<span class="keywordtype">bool</span> negative)</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;      {</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        negative_ = negative;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;      }</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160; </div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;      <span class="keyword">inline</span> <span class="keywordtype">bool</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac7af79ee4e67d4d0c4cabc8e35aada5f">  274</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac7af79ee4e67d4d0c4cabc8e35aada5f">getNegative</a> ()</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;      {</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;        <span class="keywordflow">return</span> (negative_);</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;      }</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160; </div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00281"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a5183a7e9cb3c38921193bc2eea88231c">  281</a></span>&#160;      <span class="keywordtype">int</span> <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a5183a7e9cb3c38921193bc2eea88231c">mean_k_</a>;</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160; </div>
<div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#adf0724d992bf38cea20391382ab6fbae">  286</a></span>&#160;      <span class="keywordtype">double</span> <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#adf0724d992bf38cea20391382ab6fbae">std_mul_</a>;</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160; </div>
<div class="line"><a name="l00289"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a855c4d424015f1c68a8c3cdf857b3102">  289</a></span>&#160;      KdTreePtr <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a855c4d424015f1c68a8c3cdf857b3102">tree_</a>;</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160; </div>
<div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a9de174342d17ba615c057f86f25b2d07">  292</a></span>&#160;      <span class="keywordtype">bool</span> <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a9de174342d17ba615c057f86f25b2d07">negative_</a>;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160; </div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      <span class="keywordtype">void</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"><a class="line" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ad0616a4646a19942c18feda274871d7a">  295</a></span>&#160;      <a class="code" href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ad0616a4646a19942c18feda274871d7a">applyFilter</a> (<a class="code" href="structpcl_1_1_p_c_l_point_cloud2.html">PCLPointCloud2</a> &amp;output);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;  };</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;}</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160; </div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;<span class="preprocessor">#ifdef PCL_NO_PRECOMPILE</span></div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;<span class="preprocessor">#include &lt;pcl/filters/impl/statistical_outlier_removal.hpp&gt;</span></div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160; </div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;<span class="preprocessor">#endif  </span><span class="comment">// PCL_FILTERS_STATISTICAL_OUTLIER_REMOVAL_H_</span></div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160; </div>
<div class="ttc" id="aclasspcl_1_1_filter_html"><div class="ttname"><a href="classpcl_1_1_filter.html">pcl::Filter</a></div><div class="ttdoc">Filter represents the base filter class. All filters must inherit from this interface.</div><div class="ttdef"><b>Definition:</b> filter.h:85</div></div>
<div class="ttc" id="aclasspcl_1_1_filter_html_ad700c7ab56dc82ad8811b87e9f793751"><div class="ttname"><a href="classpcl_1_1_filter.html#ad700c7ab56dc82ad8811b87e9f793751">pcl::Filter::filter_name_</a></div><div class="ttdeci">std::string filter_name_</div><div class="ttdoc">The filter name.</div><div class="ttdef"><b>Definition:</b> filter.h:166</div></div>
<div class="ttc" id="aclasspcl_1_1_filter_indices_html"><div class="ttname"><a href="classpcl_1_1_filter_indices.html">pcl::FilterIndices</a></div><div class="ttdoc">FilterIndices represents the base class for filters that are about binary point removal....</div><div class="ttdef"><b>Definition:</b> filter_indices.h:76</div></div>
<div class="ttc" id="aclasspcl_1_1_p_c_l_base_html"><div class="ttname"><a href="classpcl_1_1_p_c_l_base.html">pcl::PCLBase</a></div><div class="ttdoc">PCL base class. Implements methods that are used by most PCL algorithms.</div><div class="ttdef"><b>Definition:</b> pcl_base.h:69</div></div>
<div class="ttc" id="aclasspcl_1_1_point_cloud_html"><div class="ttname"><a href="classpcl_1_1_point_cloud.html">pcl::PointCloud</a></div><div class="ttdoc">PointCloud represents the base class in PCL for storing collections of 3D points.</div><div class="ttdef"><b>Definition:</b> point_cloud.h:173</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a046527f80b8793784dc048d4d764052a"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a046527f80b8793784dc048d4d764052a">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::getMeanK</a></div><div class="ttdeci">int getMeanK()</div><div class="ttdoc">Get the number of points to use for mean distance estimation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:236</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a5183a7e9cb3c38921193bc2eea88231c"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a5183a7e9cb3c38921193bc2eea88231c">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::mean_k_</a></div><div class="ttdeci">int mean_k_</div><div class="ttdoc">The number of points to use for mean distance estimation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:281</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a855c4d424015f1c68a8c3cdf857b3102"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a855c4d424015f1c68a8c3cdf857b3102">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::tree_</a></div><div class="ttdeci">KdTreePtr tree_</div><div class="ttdoc">A pointer to the spatial search object.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:289</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a8df2520bcc82f77555448216284503d9"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a8df2520bcc82f77555448216284503d9">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::getStddevMulThresh</a></div><div class="ttdeci">double getStddevMulThresh()</div><div class="ttdoc">Get the standard deviation multiplier threshold as set by the user.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:255</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_a9de174342d17ba615c057f86f25b2d07"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#a9de174342d17ba615c057f86f25b2d07">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::negative_</a></div><div class="ttdeci">bool negative_</div><div class="ttdoc">If true, the outliers will be returned instead of the inliers (default: false).</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:292</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_aba8165f065dace6844d66dec33b20a37"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#aba8165f065dace6844d66dec33b20a37">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::StatisticalOutlierRemoval</a></div><div class="ttdeci">StatisticalOutlierRemoval(bool extract_removed_indices=false)</div><div class="ttdoc">Empty constructor.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:218</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ac7af79ee4e67d4d0c4cabc8e35aada5f"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ac7af79ee4e67d4d0c4cabc8e35aada5f">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::getNegative</a></div><div class="ttdeci">bool getNegative()</div><div class="ttdoc">Get the value of the internal negative_ parameter. If true, all points except the input indices will ...</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:274</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_acac13c88da7b450d381a7113606722f2"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#acac13c88da7b450d381a7113606722f2">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::setNegative</a></div><div class="ttdeci">void setNegative(bool negative)</div><div class="ttdoc">Set whether the indices should be returned, or all points except the indices.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:264</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ad0616a4646a19942c18feda274871d7a"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ad0616a4646a19942c18feda274871d7a">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::applyFilter</a></div><div class="ttdeci">void applyFilter(PCLPointCloud2 &amp;output)</div><div class="ttdoc">Abstract filter method.</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_adf0724d992bf38cea20391382ab6fbae"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#adf0724d992bf38cea20391382ab6fbae">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::std_mul_</a></div><div class="ttdeci">double std_mul_</div><div class="ttdoc">Standard deviations threshold (i.e., points outside of  will be marked as outliers).</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:286</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ae5f9eed6fa082a417e142d72a34c204b"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae5f9eed6fa082a417e142d72a34c204b">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::setMeanK</a></div><div class="ttdeci">void setMeanK(int nr_k)</div><div class="ttdoc">Set the number of points (k) to use for mean distance estimation</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:229</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4_html_ae895beae56d1d4f37b3b9136028c9814"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal_3_01pcl_1_1_p_c_l_point_cloud2_01_4.html#ae895beae56d1d4f37b3b9136028c9814">pcl::StatisticalOutlierRemoval&lt; pcl::PCLPointCloud2 &gt;::setStddevMulThresh</a></div><div class="ttdeci">void setStddevMulThresh(double std_mul)</div><div class="ttdoc">Set the standard deviation multiplier threshold. All points outside the</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:248</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html">pcl::StatisticalOutlierRemoval</a></div><div class="ttdoc">StatisticalOutlierRemoval uses point neighborhood statistics to filter outlier data.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:82</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a12575358c16c125311f888e181bb67d8"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a12575358c16c125311f888e181bb67d8">pcl::StatisticalOutlierRemoval::StatisticalOutlierRemoval</a></div><div class="ttdeci">StatisticalOutlierRemoval(bool extract_removed_indices=false)</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:98</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a4d72e1b9599cee08a6c85721d29536ee"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a4d72e1b9599cee08a6c85721d29536ee">pcl::StatisticalOutlierRemoval::applyFilter</a></div><div class="ttdeci">void applyFilter(PointCloud &amp;output)</div><div class="ttdoc">Filtered results are stored in a separate point cloud.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.hpp:48</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a5a6e9a038365769f4dd341a7c0ec7df9"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a5a6e9a038365769f4dd341a7c0ec7df9">pcl::StatisticalOutlierRemoval::getStddevMulThresh</a></div><div class="ttdeci">double getStddevMulThresh()</div><div class="ttdoc">Get the standard deviation multiplier for the distance threshold calculation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:141</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a61746a6febcbfd1ab8daafa35ad95073"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a61746a6febcbfd1ab8daafa35ad95073">pcl::StatisticalOutlierRemoval::getMeanK</a></div><div class="ttdeci">int getMeanK()</div><div class="ttdoc">Get the number of nearest neighbors to use for mean distance estimation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:120</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a6246843e05e01df7022438c776afa3c9"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a6246843e05e01df7022438c776afa3c9">pcl::StatisticalOutlierRemoval::applyFilter</a></div><div class="ttdeci">void applyFilter(std::vector&lt; int &gt; &amp;indices)</div><div class="ttdoc">Filtered results are indexed by an indices array.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:167</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a891c56e75fb803f7307bbbd9648e32f1"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a891c56e75fb803f7307bbbd9648e32f1">pcl::StatisticalOutlierRemoval::setStddevMulThresh</a></div><div class="ttdeci">void setStddevMulThresh(double stddev_mult)</div><div class="ttdoc">Set the standard deviation multiplier for the distance threshold calculation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:131</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_a986c679df6a980c4448732fc3518ac48"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#a986c679df6a980c4448732fc3518ac48">pcl::StatisticalOutlierRemoval::setMeanK</a></div><div class="ttdeci">void setMeanK(int nr_k)</div><div class="ttdoc">Set the number of nearest neighbors to use for mean distance estimation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:111</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_aa0b43c9c886d7d29e59f1d221e364c4e"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#aa0b43c9c886d7d29e59f1d221e364c4e">pcl::StatisticalOutlierRemoval::std_mul_</a></div><div class="ttdeci">double std_mul_</div><div class="ttdoc">Standard deviations threshold (i.e., points outside of  will be marked as outliers).</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:187</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_aaab502f944dbbfb6d3327488864b779d"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#aaab502f944dbbfb6d3327488864b779d">pcl::StatisticalOutlierRemoval::searcher_</a></div><div class="ttdeci">SearcherPtr searcher_</div><div class="ttdoc">A pointer to the spatial search object.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:180</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_ab81b1685645759f1a6b6dceb56e92f71"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#ab81b1685645759f1a6b6dceb56e92f71">pcl::StatisticalOutlierRemoval::mean_k_</a></div><div class="ttdeci">int mean_k_</div><div class="ttdoc">The number of points to use for mean distance estimation.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.h:183</div></div>
<div class="ttc" id="aclasspcl_1_1_statistical_outlier_removal_html_ac559940193a9be8ce2e9efa90437bcd0"><div class="ttname"><a href="classpcl_1_1_statistical_outlier_removal.html#ac559940193a9be8ce2e9efa90437bcd0">pcl::StatisticalOutlierRemoval::applyFilterIndices</a></div><div class="ttdeci">void applyFilterIndices(std::vector&lt; int &gt; &amp;indices)</div><div class="ttdoc">Filtered results are indexed by an indices array.</div><div class="ttdef"><b>Definition:</b> statistical_outlier_removal.hpp:73</div></div>
<div class="ttc" id="aclasspcl_1_1search_1_1_search_html"><div class="ttname"><a href="classpcl_1_1search_1_1_search.html">pcl::search::Search&lt; pcl::PointXYZ &gt;</a></div></div>
<div class="ttc" id="astructpcl_1_1_p_c_l_point_cloud2_html"><div class="ttname"><a href="structpcl_1_1_p_c_l_point_cloud2.html">pcl::PCLPointCloud2</a></div><div class="ttdef"><b>Definition:</b> PCLPointCloud2.h:21</div></div>
<div class="ttc" id="astructpcl_1_1_point_x_y_z_r_g_b_a_html"><div class="ttname"><a href="structpcl_1_1_point_x_y_z_r_g_b_a.html">pcl::PointXYZRGBA</a></div><div class="ttdoc">A point structure representing Euclidean xyz coordinates, and the RGBA color.</div><div class="ttdef"><b>Definition:</b> point_types.hpp:540</div></div>
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